Skip to main content

ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python

Project description

ROSES

ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.

PyPI License PyPI Python version DOI

This package was created due to differences in the precision from other Python packages for statistical tests. As R is a programming language with excellent libraries for statistical, ROSES was created as a bridge (parses) to use them.

Table of Contents

Requirements

Install Python:

sudo apt install python3-dev python3-setuptools python3-tk python-dev

Install R:

sudo apt install r-base

To compile the R libraries:

sudo apt install gfortran libcurl4-openssl-dev

To install the following R libraries, otherwhise a warning will be handled:

install.packages('devtools')
devtools::install_github("b0rxa/scmamp")
install.packages('PMCMR')
install.packages("https://cran.r-project.org/src/contrib/Archive/mvtnorm/mvtnorm_1.0-8.tar.gz", repos=NULL)
install.packages('PMCMRplus')
install.packages('sp')
install.packages("https://cran.r-project.org/src/contrib/Archive/rgdal/rgdal_1.3-6.tar.gz", repos=NULL)
install.packages('pgirmess')

If you received warnings to install the R libraries, try some the commands as follow:

sudo apt install libevent-dev libreadline-dev libudunits2-dev libgdal-dev libgeos-dev libproj-dev libgmp3-dev libmpfr-dev

Installation

To download ROSE just clone the Git repository hosted in GitHub:

git clone https://github.com/jacksonpradolima/ROSE.git
python setup.py install

Alternatively, you can install it with pip:

pip install roses

Usage

Examples of configuring and running all the included algorithms are located in the test folders roses folder.

Features

The current release of ROSES (v0.3) contains the following tests:

  • Kruskal-Wallis with Post-hoc when necessary (comparing p-value)
  • Friedman with Critical Distance plot and Post-hoc when necessary (comparing p-value)
  • Varghas and Delaney (effect size)

License

This project is licensed under the terms of the MIT - see the LICENSE file for details.

Citation

If this package contributes to a project which leads to a scientific publication, I would appreciate a citation.

@misc{roses,
  author       = {Prado Lima, Jackson Antonio do},
  title        = {{ROSES (R pythOn Statistical tEstS)}},
  month        = sep,
  year         = 2019,
  doi          = {10.5281/zenodo.3444187},
  url          = {https://doi.org/10.5281/zenodo.3444187}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

roses-0.3.9-py3.8.egg (23.4 kB view details)

Uploaded Source

roses-0.3.9-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file roses-0.3.9-py3.8.egg.

File metadata

  • Download URL: roses-0.3.9-py3.8.egg
  • Upload date:
  • Size: 23.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for roses-0.3.9-py3.8.egg
Algorithm Hash digest
SHA256 255b3c726c15a81af5c2ca9207727c6d587b3871fd91f3af1660d01d09d29fc7
MD5 439db14836352b93e863445991a932f7
BLAKE2b-256 8a7928f3841b3a6daf13b9a3bf87152f56bdac05e04f1e0448ff9f5f46c8b683

See more details on using hashes here.

File details

Details for the file roses-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: roses-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 12.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for roses-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 77cec76cd752813bbe391e3c4f8d0539bc17ac426c2259181c5924f763c8d1b3
MD5 8d4a16d0523f9dfb73715821a8977652
BLAKE2b-256 60a71c998aac85492f4849c6213db8f79c8c4c69159f4fd1869c730fba2934d6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page